A mixture model approach for the analysis of microarray gene expression data

Computational Statistics and Data Analysis

Volumn 38, Issue 5, 2002, Pages 1-20

  Allison, David B ^a   Gadbury, Gary L ^b   Heo, Moonseong ^c   Fernández, José R ^c   Lee, Cheol Koo ^d,d   Prolla, Tomas A ^d   Weindruch, Richard ^e,f  

^a UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

^b MISSOURI UNIVERSITY OF SCIENCE AND TECHNOLOGY   (United States)

^c Columbia University College of Physicians and Surgeons ^*  (United States)

^d UNIVERSITY OF WISCONSIN MADISON   (United States)

^e UNIVERSITY OF WISCONSIN   (United States)

^f WILLIAM S MIDDLETON MEMORIAL VETERANS HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; STATISTICAL METHODS; TISSUE;

MICROARRAYS; MICROARRAY EXPRESSION;

GENES;

GENE; STATISTICAL ANALYSIS;

EID: 0037187833     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0167-9473(01)00046-9     Document Type: Article

References (32)

1. QTL analysis: Power, precision, and accuracy
2. Bootstrap methods
3. Practical nonparametric statistics
4. Characterization of the mouse cDNA and gene coding for a hepatocyte growth factor-like protein: Expression during development
5. Genomic control for association studies
6. A note on information seldom reported via the p value
7. False discoveries in genome scanning
8. The jackknife, the bootstrap and other resampling plans
9. Genomic-scale gene expression analysis of lymphocyte growth, tolerance and malignancy
10. Receiver operating characteristic (ROC) methodology: The state of the art
11. Nucleotide sequence of a cDNA coding for mouse cyclophilin
12. The bootstrap
13. Expression profiling in cancer using cDNA microarrays
14. Gene expression profile of aging and its retardation by caloric restriction
15. Gene-expression profile of the ageing brain in mice
16. On bootstrapping the likelihood ratio test statistic for the number of components in a normal mixture
17. Cloning of the mouse agouti gene predicts a secreted protein ubiquitously expressed in mice carrying the lethal yellow mutation
18. Parametric empirical Bayes inference: Theory and applications
19. Identifying important results from multiple statistical tests
20. Robust mixture modelling using the t distribution
21. Values as random variables- Expected p values
22. On improving standard estimators via linear empirical Bayes methods
23. The theory of statistical decision
24. Bootstrapping likelihood ratios in quantitative genetics
25. Mixture distributions in human genetics research
26. The problem of multiple inference in studies designed to generate hypotheses
27. Some recent research in the analysis of mixture distributions
28. Microarray profiling of gene expression in aging and its alteration by caloric restriction in mice
29. Microarray analysis of Drosophila development during metamorphosis